Overview The Ethereum Block Reward Predictor is a project that combines a Node.js server (Server.js) and a machine learning script (ml.py) to fetch, process, and predict future Ethereum block rewards. It provides a streamlined way to gather historical block reward data and leverage machine learning to forecast potential rewards.
Node.js Server (Server.js):
Fetches Ethereum block reward data from Etherscan API. Processes the data and exports it to a CSV file (block_data.csv). Runs- node server.js
Machine Learning Script (ml.py):
Reads block_data.csv and loads it into a Pandas DataFrame. Visualizes the data with a scatter plot. Trains a Random Forest Regressor to predict future block rewards. Outputs the predicted block reward for a given timestamp.
Output -
Darshan Jogi (https://www.linkedin.com/in/darshan-jogi-9450431b6/) Sahil Shah (https://www.linkedin.com/in/sahilshah3276/)
Dr. Ravirajsinh Vaghela